2021, ISBN: 91abbe27fe958558ceae1aecab5d0b43

The 5-volume proceedings, LNAI 12457 until 12461 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2020, … Mehr…

The 5-volume proceedings, LNAI 12457 until 12461 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2020, which was held during September 14-18, 2020. The conference was planned to take place in Ghent, Belgium, but had to change to an online format due to the COVID-19 pandemic.The 232 full papers and 10 demo papers presented in this volume were carefully reviewed and selected for inclusion in the proceedings. The volumes are organized in topical sections as follows:Part I: Pattern Mining; clustering; privacy and fairness; (social) network analysis and computational social science; dimensionality reduction and autoencoders; domain adaptation; sketching, sampling, and binary projections; graphical models and causality; (spatio-) temporal data and recurrent neural networks; collaborative filtering and matrix completion.Part II: deep learning optimization and theory; active learning; adversarial learning; federated learning; Kernel methods and online learning; partial label learning; reinforcement learning; transfer and multi-task learning; Bayesian optimization and few-shot learning.Part III: Combinatorial optimization; large-scale optimization and differential privacy; boosting and ensemble methods; Bayesian methods; architecture of neural networks; graph neural networks; Gaussian processes; computer vision and image processing; natural language processing; bioinformatics.Part IV: applied data science: recommendation; applied data science: anomaly detection; applied data science: Web mining; applied data science: transportation; applied data science: activity recognition; applied data science: hardware and manufacturing; applied data science: spatiotemporal data.Part V: applied data science: social good; applied data science: healthcare; applied data science: e-commerce and finance; applied data science: computational social science; applied data science: sports; demo track., 2021<

2019, ISBN: 91abbe27fe958558ceae1aecab5d0b43

This two-volume set constitutes the refereed proceedings of the workshops which complemented the 19th Joint European Conference on Machine Learning and Knowledge Discovery in Databases, E… Mehr…

This two-volume set constitutes the refereed proceedings of the workshops which complemented the 19th Joint European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD, held in Würzburg, Germany, in September 2019. ,The 70 full papers and 46 short papers presented in the two-volume set were carefully reviewed and selected from 200 submissions. ,The two volumes (CCIS 1167 and CCIS 1168) present the papers that have been accepted for the following workshops: Workshop on Automating Data Science, ADS 2019, Workshop on Advances in Interpretable Machine Learning and Artificial Intelligence and eXplainable Knowledge Discovery in Data Mining, AIMLAI-XKDD 2019, , Workshop on Decentralized Machine Learning at the Edge, DMLE 2019, Workshop on Advances in Managing and Mining Large Evolving Graphs, LEG 2019, Workshop on Data and Machine Learning Advances with Multiple Views, Workshop on New Trends in Representation Learning with Knowledge Graphs, Workshop on Data Science for Social Good, SoGood 2019, Workshop on Knowledge Discovery and User Modelling for Smart Cities, UMCIT 2019, Workshop on Data Integration and Applications Workshop, DINA 2019, Workshop on Machine Learning for Cybersecurity, MLCS 2019, Workshop on Sports Analytics: Machine Learning and Data Mining for Sports Analytics, MLSA 2019, Workshop on Categorising Different Types of Online Harassment Languages in Social Media, Workshop on IoT Stream for Data Driven Predictive Maintenance, IoTStream 2019, Workshop on Machine Learning and Music, MML 2019, Workshop on Large-Scale Biomedical Semantic Indexing and Question Answering, BioASQ 2019. , Bücher & Hörbücher<

2019, ISBN: 91abbe27fe958558ceae1aecab5d0b43

The three volume proceedings LNAI 11906 – 11908 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2019, h… Mehr…

The three volume proceedings LNAI 11906 – 11908 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2019, held in Würzburg, Germany, in September 2019.The total of 130 regular papers presented in these volumes was carefully reviewed and selected from 733 submissions, there are 10 papers in the demo track. The contributions were organized in topical sections named as follows:Part I: pattern mining, clustering, anomaly and outlier detection, and autoencoders, dimensionality reduction and feature selection, social networks and graphs, decision trees, interpretability, and causality, strings and streams, privacy and security, optimization.Part II: supervised learning, multi-label learning, large-scale learning, deep learning, probabilistic models, natural language processing.Part III: reinforcement learning and bandits, ranking, applied data science: computer vision and explanation, applied data science: healthcare, applied data science: e-commerce, finance, and advertising, applied data science: rich data, applied data science: applications, demo track.Chapter "Heavy-tailed Kernels Reveal a Finer Cluster Structure in t-SNE Visualisations" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com. Bücher & Hörbücher<

2016, ISBN: 91abbe27fe958558ceae1aecab5d0b43

The three volume set LNAI 9851, LNAI 9852, and LNAI 9853 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKD… Mehr…

The three volume set LNAI 9851, LNAI 9852, and LNAI 9853 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2016, held in Riva del Garda, Italy, in September 2016. The 123 full papers and 16 short papers presented  were carefully reviewed and selected from a total of 460 submissions. The papers presented focus on practical and real-world studies of machine learning, knowledge discovery, data mining; innovative prototype implementations or mature systems that use machine learning techniques and knowledge discovery processes in a real setting; recent advances at the frontier of machine learning and data mining with other disciplines. Part I and Part II of the proceedings contain the full papers of the contributions presented in the scientific track and abstracts of the scientific plenary talks. Part III contains the full papers of the contributions presented in the industrial track, short papers describing demonstration, the nectar papers, and the abstracts of the industrial plenary talks., 2016<

2013, ISBN: 91abbe27fe958558ceae1aecab5d0b43

This three-volume set LNAI 8188, 8189 and 8190 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2013, he… Mehr…

This three-volume set LNAI 8188, 8189 and 8190 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2013, held in Prague, Czech Republic, in September 2013. The 111 revised research papers presented together with 5 invited talks were carefully reviewed and selected from 447 submissions. The papers are organized in topical sections on reinforcement learning, Markov decision processes, active learning and optimization, learning from sequences, time series and spatio-temporal data, data streams, graphs and networks, social network analysis, natural language processing and information extraction, ranking and recommender systems, matrix and tensor analysis, structured output prediction, multi-label and multi-task learning, transfer learning, bayesian learning, graphical models, nearest-neighbor methods, ensembles, statistical learning, semi-supervised learning, unsupervised learning, subgroup discovery, outlier detection and anomaly detection, privacy and security, evaluation, applications, and medical applications. Bücher & Hörbücher<